Работы, цитирующие эту работу

Работ: 6

Работа: Textural Features for Image Classification

1. Study on signs of defects in the image of the surface of flat-rolled products

   О. С. Логунова, Palvan Kalandarov, Evgeny Garbar +4

   СтатьяEngineering Diagnostics and ReliabilityE3S Web of Conferences2021Цитирований: 2

   ABIABI:AkademIndex/openalex/2026.other.280569

2. Construction of Computer System for Microobjects Recognition Based on Neural Networks

   Ulugbek Kh. Narzullaev, Akmal Akhatov, Olim I. Jumanov

   ГлаваAdvanced Scientific Research MethodsLecture notes in computer science2007Цитирований: 1

   ABIABI:AkademIndex/openalex/2007.chapter.000009

3. Could normalization improve robustness of abdominal MRI radiomic features?

   Valentina Giannini, Jovana Panić, Daniele Regge +2

   СтатьяRadiomics and Machine Learning in Medical ImagingBiomedical Physics & Engineering Express2023Цитирований: 1

   ABIABI:AkademIndex/openalex/2023.article.000662

4. Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks

   Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro +1

   ПрепринтImage and Signal Denoising MethodsIEEE Transactions on Geoscience and Remote Sensing2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000011

5. Machine Learning Based Image Classification with COREL 1K Dataset

   Ibrohim Abdivokhidov, Mohamed Uvaze Ahamed Ayoobkhan

   ГлаваImage Retrieval and Classification TechniquesLecture notes in civil engineering2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.chapter.000105

6. Intelligent Analysis of Urban Green Zones Based on Unmanned Aerial Vehicle Data

   Ravshan Shirinboyev, Shavkat Akhralov, Asror ULASHEV

   СтатьяRemote Sensing and Land Use2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.014005